2 papers
cs.CL2025
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
Zeliang Zong, Kai Zhang, Zheyang Li +4
Large Language Models (LLMs) have demonstrated remarkable proficiency in language comprehension and generation; however, their widespread adoption is constrained by substantial ban…
cs.CV2025
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
Shuo Li, Jiajun Sun, Guodong Zheng +10
Recently, multimodal large language models (MLLMs) have demonstrated remarkable performance in visual-language tasks. However, the authenticity of the responses generated by MLLMs…